I am an AI/ML Software Engineer with a passion for advanced AI and ML techniques. My goal is to contribute to innovative projects at the intersection of software engineering and machine learning, leveraging my skills in building robust, scalable applications.…

Akshay Kumar Apsingi

I am an AI/ML Software Engineer with a passion for advanced AI and ML techniques. My goal is to contribute to innovative projects at the intersection of software engineering and machine learning, leveraging my skills in building robust, scalable applications.…

Available to hire

I am an AI/ML Software Engineer with a passion for advanced AI and ML techniques. My goal is to contribute to innovative projects at the intersection of software engineering and machine learning, leveraging my skills in building robust, scalable applications.

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Skills

Experience Level

AWS
Expert
Docker
Expert
Java
Expert
JavaScript
Expert
MySQL
Expert
Python
Expert

Language

English
Fluent

Work Experience

Software Engineer at Experian
September 1, 2022 - June 1, 2025
Developed AI applications, built scalable document management systems, and engineered distributed systems for automating report delivery. Led critical migrations and collaborated with DevOps for deployment.
Software Engineer Intern at Experian
November 1, 2021 - September 1, 2022
Developed APIs for asynchronous updates of consumer data, built reusable libraries, and ensured the security of applications.

Education

Masters in Computer Science at University of Sydney
July 1, 2025 - August 1, 2027
BE in Computer Science Engineering at Osmania University
January 1, 2018 - January 1, 2022

Qualifications

NPTEL Elite Certification in Machine Learning for Engineering and Science Applications
January 11, 2030 - January 13, 2026

Industry Experience

Computers & Electronics, Financial Services, Education, Software & Internet
    paper Multi tenant voice Bot

    Voice agent that jumps on client calls

    Each client instance comes with its own integration, dedicated knowledge base, CRM connectivity, and calendar sync. When a customer initiates a call, we dynamically spin up a server room where the agent seamlessly joins the conversation. Telephony integration over SIP ensures the caller is routed directly into this room.

    Under the hood:

    • LiveKit orchestrates the end-to-end voice pipeline
    • Deepgram currently powers STT + TTS (while I’m also experimenting with Cartesian + ElevenLabs)
    • The LLM layer (Agno) is fully tailored, equipped with conversational memory, and wired into business APIs + CRM systems.

    In this demo, I’ll bring the server online, activate the agent, and query it against a CRM dataset. The agent leverages custom-built tools to retrieve information efficiently and respond with precision in real time with low latency.

    LinkedIn - https://www.twine.net/signin